A.A. Prokurovsky1, N.V. Toutova2, I.A. Andreev3

1–3 Moscow Technical University of Communications and Informatics (Moscow, Russia)
1 a.a.prokurovskiy@mtuci.ru, 2 e-natasha@mail.ru, 3 i.a.andreev@mtuci.ru

Content delivery networks reduce the user`s access time to information resources. E- learning platforms with many users in different cities and countries are one of the areas where the use of content delivery networks is relevant due to the active use of video lessons and audio files. The principle of operation of content delivery networks is to cache information resources on nodes located closer to the end user, which allows for faster content loading. Improving and developing caching methods that significantly increase the speed of user access to content is an urgent task.

The aim of the work is to develop a caching method in a content delivery network for e- learning that allows for faster content loading compared to the traditional method, when caching occurs when the end user requests content (pull-model).

The proposed content caching method uses a hybrid caching model (push-pull) that allows proactive content caching on edge servers. It takes into account potential demand by end users. For educational content, demand can be determined based on how users complete lessons. The algorithm for solving the problem based on the fuzzy logic model is given in detail. The content popularity is classified into three fuzzy sets: low, medium and high popularity. Each of the sets is described by a membership function that depends on the popularity boundaries. The proposed algorithm performs fuzzification of the popularity number, distributing its membership among three fuzzy sets. The results are used to make decisions about file caching. Compared with a simple caching algorithm, the proposed method allows to speed up content loading by an average of 10-30% for various edge nodes of the content delivery network.

A test bench was developed to evaluate the effectiveness of the proposed method. The enterprise service bus product 1C:Bus was used as middleware. Three virtual machines running the Ubuntu Linux operating system are used to emulate geographically distributed edge servers as well as one origin server. Several iterations of the experiment were conducted, using 50 video tutorials, each of which was downloaded twice. The file sizes varied from 1 KB to 1 GB. The results showed an average content loading time advantage by the proposed caching method by 10-30% compared to the traditional one.

Prokurovsky A.A., Toutova N.V., Andreev I.A. Method of caching information resources in content delivery networks for distance learning based on fuzzy logic. Dynamics of complex systems. 2025. V. 19. № 4. P. 75−85. DOI: 10.18127/j19997493-202504-08 (in Russian).

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